Seeing things clearly: Image understanding through hard-attention and reasoning with structured knowledge

2021 ◽  
Author(s):  
Jonathan Gerrand
Keyword(s):  
Image Understanding ◽  
Structured Knowledge

Role of video assisted teaching in counselling to make decision for organ donation

2019 ◽  
Vol 2 (6) ◽  
pp. 145-148
Author(s):  
Sumesh Kumar ◽  
Sarita Bagaria ◽  
Moirangthem Sonia ◽  
Kailash Kumar Khandelwal
Keyword(s):  
Organ Donation ◽  
Vital Role ◽  
Health Team ◽  
Video Assisted ◽  
Knowledge Questionnaire ◽  
Structured Knowledge ◽  
Spss Software ◽  
Knowledge And Attitude ◽  
Post Assessment

Decision of organ donation has enormous potential to save countless lives and health team play a vital role in counselling of patients and their family in decision making regarding organ donation in the ultimate stage of life. For this reason, evaluation of factors which can enhance knowledge and positive attitude towards organ donation has paramount importance. Present study aims to assess the knowledge and attitude of adults regarding organ donation and to find out role of video assisted teaching in behaviour modulation. Data from 80 participants were collected using a structured knowledge questionnaire. Pre-assessment was done before intervention of video-assisted teaching and post-assessment was done following that. Data were analyzed through SPSS software using Spearman’s Rank Co-relation. We found a negative co-relation (rK= -0.1122) between knowledge & attitude of adults regarding organ donation before video-assisted teaching regarding organ donation. A direct and positive co-relation (rK=+0.294) was observed between knowledge and attitude of adults regarding organ donation after video assisted teaching. We found that video assisted counselling provided by the medical team has great potential in promoting actions regarding organ donation. It is recommended that video assisted counselling should be applied to enhance knowledge and attitude regarding organ donation among general population.

Consensus Theory in Expert Systems: An Adaptive Inference Framework and Application to Image Understanding

1988 ◽  
Author(s):  
Kathryn B. Laskey ◽  
Marvin S. Cohen ◽  
William G. Roman ◽  
Paul K. Black ◽  
James R. Mcintyre
Keyword(s):  
Expert Systems ◽  
Image Understanding ◽  
Consensus Theory ◽  
Adaptive Inference

Status and Current Research in the Image Understanding Architecture Effort.

1991 ◽  
Author(s):  
Charles Weems ◽  
Martin Herbordt ◽  
Michael Scudder ◽  
James Burrill ◽  
Richard Lerner ◽  
...  
Keyword(s):  
Image Understanding

Basic Research in Computer Science: Image Understanding

2001 ◽  
Author(s):  
Takeo Kanade ◽  
Steven Shafer ◽  
Katsushi Ikeuchi
Keyword(s):  
Computer Science ◽  
Basic Research ◽  
Image Understanding

A bootstrapping approach for robust topic analysis

2002 ◽  
Vol 8 (2-3) ◽  
pp. 209-233 ◽  
Author(s):  
OLIVIER FERRET ◽  
BRIGITTE GRAU
Keyword(s):  
Information Extraction ◽  
Large Scale ◽  
Text Summarization ◽  
Great Precision ◽  
Topic Analysis ◽  
Structured Knowledge

Topic analysis is important for many applications dealing with texts, such as text summarization or information extraction. However, it can be done with great precision only if it relies on structured knowledge, which is difficult to produce on a large scale. In this paper, we propose using bootstrapping to solve this problem: a first topic analysis based on a weakly structured source of knowledge, a collocation network, is used for learning explicit topic representations that then support a more precise and reliable topic analysis.

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